By Topic

Motion blur parameters estimation based on frequency and spatial domain analysis

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Yu Shen ; School of Electronic and Information Engineering, Lanzhou Jiao tong University, Lanzhou, China ; Jianwu Dang ; Tao Lei ; Weiwei Luo

Restoration of motion blurred image is highly dependent on motion blur parameters estimation, such as motion length (L) and motion direction (Φ). After studying the nature of the degradation function and the point spread function (PSF), the paper presents an improved algorithm to estimate linear motion blur parameters. The algorithm is based on the combination of frequency and spatial domain analysis. In this algorithm, Radon transform is used to find the motion direction in the frequency domain, and autocorrelation method is used to estimate the motion length in the spatial domain. The experiment results show that this algorithm can effectively estimate motion blur parameters.

Published in:

Consumer Electronics, Communications and Networks (CECNet), 2012 2nd International Conference on

Date of Conference:

21-23 April 2012